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Click here or scroll down to respond to this candidateCandidate's Name
PHONE NUMBER AVAILABLE EMAIL AVAILABLE LINKEDIN LINK AVAILABLE github.com/srisannihitha EducationUniversity at Buffalo, The State University of Buffalo Buffalo, NY Master Degree, Computer Science and Information Systems Aug 2022 - May 2024 Gandhi Institute of Technology Visakhapatnam, India Bachelor Degree, Computer Science and Engineering Jul 2016 - May 2020 Technical SkillsCore Expertise : Data Mining, Data Cleaning, Data Processing, Reporting, Data Visualization Programming : Python, R, SQL, Scala, MATLAB, Java, SAS, NoSQL Databases : PostgreSQL, MySQL, MS SQL Server, OracleSQL, Cassandra, Microsoft SQL Server, MongoDB Big Data : Hadoop, MapReduce, Pig, Hive, Spark, Flume, Kafka, Docker, Kubernetes Tools : Power BI, Tableau, SSIS, Excel, RStudio, Qlik, Airflow, Flask, Zoho CRM, SAP ERP, Jira, Git, Agile, CI/CD Cloud : Azure Synapse, Azure Databricks, Azure Data Factory, S3, EC2, Glue, Redshift, GCP, Snowflake Libraries : Pandas, NumPy, PySpark, Scikit-Learn, Keras, TensorFlow, Matplotlib, PyTorch, Statistical Modeling ExperienceData Analyst/Engineer Jan 2023 May 2023University at Buffalo Buffalo, NY Innovated a multilingual exam preparation platform utilizing MySQL, VBA applications, creating 36 dashboards and 24 ad hoc reports, which provided recommendations that boosted landing page conversion by 38%. Compiled precise management reports and 24 ad hoc reports with data visualizations driven by Power Query, SAS, and DAX, leading to a 34% increase in project delivery speed through Agile methodologies. Transformed and compressed large-scale datasets across multiple formats using Azure Synapse ETL processes; enhanced data integrity and consistency, leading to a 35% improvement in storage optimization and retrieval speed. Data Analyst Aug 2021 Jul 2022Amazon Hyderabad, India Detected and addressed financial fraud through SQL, pivot tables, SAS, and Tableau, partnering with cross-functional teams; achieved a 35% improvement in service delivery quality and increased customer satisfaction. Engineered AWS-based data processing, achieving 30% latency and throughput improvements. Leveraged AWS Glue serverless architecture for automated data ingestion and transformation, boosting operational efficiency. Employed Python and R for advanced time series analysis, forecasting trends, and identifying outliers, adhering to SOPs and Six Sigma methodologies for manual audits to uphold data integrity and precision. Improved data retrieval efficiency on Amazon RDS, Amazon S3, and AWS DynamoDB by crafting SQL procedures, scripts, and functions, and implementing indexing strategies, achieving a 20% performance boost and scalability. Directed in planning and execution of UAT testing and retested UAT defects and updated comments in JIRA on delivery feedbacks resulting in cost reduction of $1,11,000. Junior Data Analyst/Engineer Jul 2019 Apr 2021DeMenew Tech Pvt Ltd Hyderabad, India Established real-time data and reporting infrastructure with Power BI and HiveQL; defined KPIs to measure business decision effectiveness, enhancing product and marketing funnel analysis, resulting in a 25% increase in actionable insights. Orchestrated a real-time ETL pipeline for integrating, ingesting, storing, and analyzing 110 terabytes of raw restaurant data. Utilized Apache Airflow and Hadoop for efficient data processing and storage. Streamlined and optimized data transformations and cleansing processes using Azure Data Factory and Azure Databricks; leveraged Apache Spark to improve large-scale data processing efficiency by 40%, reducing operational costs by 25%. Designed and monitored AI solutions, executing A/B experiments for POS AI software to enhance conversion rates by 19 basis points and reduce churn by 12 basis points, integrating CI/CD practices for seamless deployment. ProjectsHeart Disease Prediction Python, Flask, HTML, CSS, Prediction models, Classification models Jan 2024 May 2024 Processed data for 80,000 patients in the health care industry, including data profiling, cleaning, preprocessing, transformation, and exploratory data analysis. Implemented 7 regression, classification, and prediction models to predict heart disease, utilizing feature extraction, statistical analysis, and neural networks.Superstore Data Analysis Tableau Jan 2023 May 2023 Analyzed superstore supply chain data focusing on sub-category profit and regional sales using Tableau and Excel macros; optimized inventory management, resulting in a 20% reduction in stockouts and 15% increase in profitability. Applied statistical analysis and data mining techniques to derive insights and support strategic planning and forecasting. CertificationsAzure Data Engineer Associate- MicrosoftIssued Jun 2024 - Expires Jun 2025 |
